Introduction to special issues on data mining and granular computing
نویسندگان
چکیده
منابع مشابه
On Modeling Data Mining with Granular Computing
The main objective of this paper is to advocate for formal and mathematical modeling of data mining, which unfortunately has not received much attention. A framework is proposed for rule mining based on granular computing. It is developed in the Tarski’s style through the notions of a model and satisfiability. The model is a database consisting of a finite set of objects described by a finite s...
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Granular computing, as an emerging research field, provides a conceptual framework for studying many issues in data mining. This paper examines some of those issues, including data and knowledge representation and processing. It is demonstrated that one of the fundamental tasks of data mining is searching for the right level of granularity in data and knowledge representation.
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What is granular computing(GrC)? It is a shifting paradigm. Let us start with a few words about how the term was coined. In the academic year 1996-97, when Lin (this section editor) took his sabbatical leave at UC-Berkeley, Zadeh suggested granular mathematics (GrM) to be his research area. To limit the scope, Lin proposed the term granular computing [14]. What was GrC then? Zadeh had outlined ...
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What is Deductive Data Mining (DDM)? It is a methodology that derives patterns from the mathematical structure of the stored data. Among three core techniques of data mining [1], classifications and association rule mining are deductive data mining, while clustering is not, because its algorithms often use some properties of the ambient space. What is Granular Computing (GrC)? In general, it is...
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ژورنال
عنوان ژورنال: International Journal of Approximate Reasoning
سال: 2005
ISSN: 0888-613X
DOI: 10.1016/j.ijar.2004.11.010